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A. Saxena

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Preprint Sep 2026

Locally Fair PageRank: Mean-Field Approximation and One-Step Refinement

Graph-based ranking methods such as PageRank can amplify structural disparities in networks, motivating fairness-aware ranking mechanisms for sensitive groups. Locally Fair PageRank (LFPR) enforces fairness through local propagation, but exact computation requires repeated iterations until convergence, limiting scalabi...

Mukesh Kumar, Gaurav Dixit, A. Saxena · 0 citations
Book Open access Jul 2026

Reproducibility Challenges in Computational Network Science: Evidence, Causes, and Recommendations

A taxonomy of reproducibility in CNS is presented, structured around artifact availability, algorithmic clarity, experimental environments, and data processing and experimental pipelines, and recommendations to improve reproducibility are outlined.

A. Saxena · 0 citations
Review Aug 2026

Fairness-Aware Network Embeddings: Methods, Applications, and Challenges

This survey presents a comprehensive overview of fairness-aware network embeddings for complex networks and proposes a taxonomy that categorizes existing methods along three main complementary dimensions: underlying embedding approach, fairness intervention strategy, and fairness objective criterion.

E. Has, Harshit Yadav, Gaurav Dixit et al. · 1 citation

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